Extract structured, categorized skills from CV text.
npx skills add https://github.com/gw-ai-security/ats-cv-scorer --skill skill-extraction
Please help me install this Agent Skill. Skill: skill-extraction Source: https://github.com/gw-ai-security/ats-cv-scorer/tree/main/.codex/skills/skill-extraction Command: npx skills add https://github.com/gw-ai-security/ats-cv-scorer --skill skill-extraction
Extract structured, categorized skills from CV text to enable transparent, auditable skill analyses.
Parse a CV text and return a structured, categorized skill list.
High-intent search queries and answers about installing and using this skill.
To extract skills from CV text, you use rule-based extraction to produce deterministic skill lists with consistent categories. This approach ensures outputs remain explainable and reproducible for transparent skill analyses.
Skill categorization maps extracted skills to stable categories for reliable reporting. This deterministic mapping ensures consistent category output across different CV texts for auditable skill analyses.
You need to update skill extraction logic when skill lists, synonyms, or categories require updating, or when extraction output formats change. This involves modifying the core extractor and running unit tests to ensure consistent category output.
Yes, rule-based skill extraction guarantees consistent category output by producing deterministic skill lists. This ensures that structured skills extracted from CV text remain explainable and reproducible.
The best way to maintain synonym lists for CV skill categorization is to update the rule-based extraction logic directly. Running unit tests after updates ensures that the structured, categorized skill outputs remain stable and accurate.
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